Manager II, Machine Learning – Conversion Visibility @Pinterest

Overview

The role involves managing the Conversion Visibility Modeling team at Pinterest, where the focus is on developing solutions that ensure advertisers maintain privacy-aware performance visibility. The position requires leading a hybrid team dedicated to building end-to-end identity and conversion visibility systems.

Key Responsibilities

• Attract, hire, develop, and lead a hybrid team of ML engineers and backend software engineers.
• Oversee strategy, execution, and operational excellence of identity and conversion signal modeling systems.
• Collaborate closely with product managers, data scientists, and tech leads to align business needs with technical strategy.
• Define interfaces, SLAs, and success metrics with various teams to integrate identity and conversion systems into the ads ecosystem.
• Establish engineering best practices across ML and backend development.
• Utilize AI for accelerating analysis and ensure the reliability of ML systems.

Requirements

• 7+ years of experience building and deploying large-scale ML systems in production.
• 2+ years of experience as an engineering manager or technical lead.
• Bachelor's Degree in Computer Science, Statistics, or a related field, or equivalent experience.
• Hands-on experience with ads conversion attribution, identity matching, or ads measurement is preferred.
• Proven technical leadership in setting direction for multi-quarter roadmaps.
• Excellent communication and collaboration skills across cross-functional teams.

Benefits

Base salary range is $189,308 — $389,753 USD, with eligibility for equity. Additional details regarding company culture and benefits can be found on their website.

Location

This is a hybrid role requiring in-office collaboration 1 day per week, and candidates must be commutable to either Seattle or the Bay Area.

How to Apply

Visit Pinterest's careers page to apply for the position.

Deadline

No specific deadline mentioned.